Title :
Detection of Critical Brain Sites Using Fractal Analysis
Author :
Uthayakumar, R. ; Paramanathan, P.
Author_Institution :
Gandhigram Rural Univ., Gandhigram
Abstract :
Epilepsy is a neurological disorder involving recurrent abnormal discharges of neurons that produce epileptic seizures, affecting the human brain. Locating the exact seizure portion in the brain is very important for predicting the reoccurrence of epileptic seizure. Many techniques have been used for seizure prediction, but they are computationally expensive. In this paper we propose the Nonlinear Mathematical technique (simple to calculate) from the theory of chaos, fractals and clustering methods to locate the brain sites by analyzing the Electroencephalogram signals.
Keywords :
electroencephalography; fractals; pattern clustering; clustering methods; critical brain sites detection; electroencephalogram signals; epileptic seizure; epileptic seizures; fractal analysis; human brain; neurological disorder; nonlinear mathematical technique; recurrent abnormal discharges; Autocorrelation; Brain; Electroencephalography; Electrophysiology; Epilepsy; Fault location; Fractals; Humans; Neurons; Signal analysis; Autocorrelation functions; Electroencephalogram (EEG); Epilepsy; Fractal Dimension; K-means Clustering;
Conference_Titel :
Advanced Computing and Communications, 2006. ADCOM 2006. International Conference on
Conference_Location :
Surathkal
Print_ISBN :
1-4244-0716-8
Electronic_ISBN :
1-4244-0716-8
DOI :
10.1109/ADCOM.2006.4289954